# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for list_comprehensions module."""

from nvidia.dali._autograph.converters import list_comprehensions
from nvidia.dali._autograph.core import converter_testing


class ListCompTest(converter_testing.TestCase):
    def assertTransformedEquivalent(self, f, *inputs):
        tr = self.transform(f, list_comprehensions)
        self.assertEqual(f(*inputs), tr(*inputs))

    def test_basic(self):
        def f(l):
            s = [e * e for e in l]
            return s

        self.assertTransformedEquivalent(f, [])
        self.assertTransformedEquivalent(f, [1, 2, 3])

    def test_multiple_generators(self):
        def f(l):
            s = [e * e for sublist in l for e in sublist]  # pylint:disable=g-complex-comprehension
            return s

        self.assertTransformedEquivalent(f, [])
        self.assertTransformedEquivalent(f, [[1], [2], [3]])

    def test_cond(self):
        def f(l):
            s = [e * e for e in l if e > 1]
            return s

        self.assertTransformedEquivalent(f, [])
        self.assertTransformedEquivalent(f, [1, 2, 3])
